Estimation of vegetation indices for high-throughput phenotyping of wheat using aerial imaging
出版年份 2018 全文链接
标题
Estimation of vegetation indices for high-throughput phenotyping of wheat using aerial imaging
作者
关键词
Wheat, Phenotyping, Deep learning, Precision agriculture
出版物
Plant Methods
Volume 14, Issue 1, Pages -
出版商
Springer Nature
发表日期
2018-03-14
DOI
10.1186/s13007-018-0287-6
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- The use of plant models in deep learning: an application to leaf counting in rosette plants
- (2018) Jordan Ubbens et al. Plant Methods
- Aerial Images and Convolutional Neural Network for Cotton Bloom Detection
- (2018) Rui Xu et al. Frontiers in Plant Science
- Mapping drought-impacted vegetation stress in California using remote sensing
- (2017) Mahesh Rao et al. GIScience & Remote Sensing
- Fine-grained recognition of plants from images
- (2017) Milan Šulc et al. Plant Methods
- TasselNet: counting maize tassels in the wild via local counts regression network
- (2017) Hao Lu et al. Plant Methods
- Panicle-SEG: a robust image segmentation method for rice panicles in the field based on deep learning and superpixel optimization
- (2017) Xiong Xiong et al. Plant Methods
- Comparative Performance of Ground vs. Aerially Assessed RGB and Multispectral Indices for Early-Growth Evaluation of Maize Performance under Phosphorus Fertilization
- (2017) Adrian Gracia-Romero et al. Frontiers in Plant Science
- High-Throughput Phenotyping of Plant Height: Comparing Unmanned Aerial Vehicles and Ground LiDAR Estimates
- (2017) Simon Madec et al. Frontiers in Plant Science
- Deep Plant Phenomics: A Deep Learning Platform for Complex Plant Phenotyping Tasks
- (2017) Jordan R. Ubbens et al. Frontiers in Plant Science
- Deep machine learning provides state-of-the-art performance in image-based plant phenotyping
- (2017) Michael P. Pound et al. GigaScience
- Leaf aging of Amazonian canopy trees as revealed by spectral and physiochemical measurements
- (2016) Cecilia Chavana-Bryant et al. NEW PHYTOLOGIST
- Application of unmanned aerial systems for high throughput phenotyping of large wheat breeding nurseries
- (2016) Atena Haghighattalab et al. Plant Methods
- Using Deep Learning for Image-Based Plant Disease Detection
- (2016) Sharada P. Mohanty et al. Frontiers in Plant Science
- UAVs challenge to assess water stress for sustainable agriculture
- (2015) J. Gago et al. AGRICULTURAL WATER MANAGEMENT
- Sensitivity analysis of vegetation indices to drought over two tallgrass prairie sites
- (2015) Rajen Bajgain et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Deep learning in neural networks: An overview
- (2015) Jürgen Schmidhuber NEURAL NETWORKS
- A red-edge spectral index for remote sensing estimation of green LAI over agroecosystems
- (2013) J. Delegido et al. EUROPEAN JOURNAL OF AGRONOMY
- Strategy for the Development of a Smart NDVI Camera System for Outdoor Plant Detection and Agricultural Embedded Systems
- (2013) Volker Dworak et al. SENSORS
- Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps
- (2012) David J. Mulla BIOSYSTEMS ENGINEERING
- The application of small unmanned aerial systems for precision agriculture: a review
- (2012) Chunhua Zhang et al. PRECISION AGRICULTURE
- Use of normalised difference vegetation index, nitrogen concentration, and total nitrogen content of whole maize plant and plant fractions to estimate yield and nutritive value of hybrid forage maize
- (2011) M. R. Islam et al. Crop & Pasture Science
- Application of Vegetation Indices for Agricultural Crop Yield Prediction Using Neural Network Techniques
- (2010) Sudhanshu Sekhar Panda et al. Remote Sensing
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